EGG (Enhanced Guided Google) — A meta search engine for combinatorial keyword search

Abstract

The World Wide Web has immense resources for all kind of people for their specific needs. Searching on the Web using search engines such as Google, Bing, Ask have become an extremely common way of locating information. Searches are factorized by using either term or keyword sequentially or through short sentences. The challenge for the user is to come up with a set of search terms/keywords/sentence which is neither too large (making the search too specific and resulting in many false negatives) nor too small (making the search too general and resulting in many false positives) to get the desired result. No matter, how the user specifies the search query, the results retrieved, organized and presented by the search engines are in terms of millions of linked pages of which many of them might not be useful to the user fully. In fact, the end user never knows which pages are exactly matching the query and which the pages are not, till one checks it individually by referring that page. Providing the accurate and precise result to the end users has become Holy Grail for the search engines like Google, Bing, Ask etc. This research proposes a metasearch engine called EGG that is intended to use power of the Google for more accurate and combinatorial search. This is achieved through simple manipulation and automation of Google functions that are accessible from EGG through the Google.

A framework for investigating search engines' stemming mechanisms: A case study on Bing

“…To eliminate these varying results, an interface was developed to search using all combinations which may be created using those words. 28 In addition, it is also an important issue that a web page or document is shown at the top in the search engine results. For this, an algorithm has been developed that recommends the metadata of that web page or document to search engines.…”

An Agent-based Meta-Search Engine Architecture for Open Government Datasets Search

“…Their proposed architecture can retrieve similar documents by using the exiting search engines. Raval, V and Kumar, V [10] was present a meta-search engine approach, called EGG (Enhanced Guided Google) that was contracted to use the Google for more authentic and combinatory search. The designed meta-search engine supported the search established on "Combinatorial Keywords" and "Normal Search".…”

Stemming Mechanism of Search Engine Bing For Single-Plural Words

“…Ayrıca belirli bir kelime grubu için düzenli sırada arama yapılması ile farklı kombinasyonlar ile arama yapılması arasında dönen sonuçlar açısından farklılık görülmektedir. Bu farkı ortadan kaldırmak için, Raval ve Kumar arama yaparken ortaya çıkabilecek tüm kombinasyonları ele alan bir arayüz geliştirmiştir [7]. Birçok çalışmada, arama motorlarının güncelliği ve güvenilirliği ele alınmıştır.…”